Headquarters: Spain / United Kingdom

About AiraloAlo! Airalo is the world’s first eSIM store that helps people connect in over 200+ countries and regions across the globe. We are building the next digital service that revolutionizes the telecom industry. We are a travel-tech company and an equal-opportunity environment that values and executes diversity, inclusion, and equity. Our team is spread across 50+ countries and six continents. What glues us together is our commitment to changing the way you connect. Check out more information about Airalo in our Public Handbook: https://airalo-public.notion.site/airalo-public-handbook
About youWe hope that you care deeply about the quality of your work, the intrinsic worth of tasks, and the success of your team. You are self-disciplined and do not require micromanagement in terms of your skillset and work ethic. You do your best to flourish as an individual every day while working hard to foster a collaborative team environment. You believe in the importance of being — and staying — authentic, honest, positive, and kind. You are a good interlocutor with clear and concise communication. You are able to manage multiple projects, have an analytical mind, pay keen attention to detail, and love to get your hands dirty. You are cognizant, tolerant, and welcoming of vulnerabilities and cultural differences.
About the RolePosition: Full-time / EmployeeLocation: Remote-first Benefits: Health Insurance, work-from-anywhere stipend, annual wellness & learning credits, annual all-expenses-paid company retreat in a gorgeous destination & other benefits
We're looking for a Staff Data Analyst, Product to own product analytics at Airalo. You'll be the go-to person for understanding how our 20M+ users across 190+ countries interact with our product-what drives activation, engagement, retention, and ultimately revenue. This is a high-impact IC role with significant scope: you'll partner directly with product teams and leadership  to shape product strategy through data.
You'll report to the Director of Data and partner closely with analytics engineering, product managers, and cross-functional stakeholders. Success looks like product decisions backed by rigorous analysis, experimentation that compounds learning, and metrics the business trusts and uses. Beyond delivering insights that influence the roadmap, you'll help shape how product analytics operates at Airalo-our model is evolving, and you'll have real input into how we scale coverage and structure the team.

What you’ll do:

• Partner with Product teams to define success metrics, design experiments, and evaluate feature impact
• Partner with fractional squad analysts where they exist; serve as the primary analytics partner for squads without dedicated coverage and help evolve our organisational model for product analytics
• Be hands-on with analysis, dashboards, and metric development while building the foundations for a scalable product analytics practice
• Define, own, and govern product metrics and KPIs in alignment with our company-wide unified KPI framework-ensuring consistency, clarity, and trust in how we measure product performance in alignment with business goals
• Build and maintain core product health dashboards in partnership with analytics engineering as we’re transitioning to self-service via Lightdash and maturing our analytics platform
• Conduct deep-dive analyses on user behavior, funnel performance, and cohort trends to surface opportunities and diagnose issues
• Design and analyze A/B tests and experiments, establishing best practices for experimentation rigor
• Translate complex analytical findings into clear recommendations for technical and non-technical stakeholders, including executive leadership
• Partner with data and product teams, to define data requirements and ensure product event tracking meets analytical needs

Must-haves:

• 7+ years in product analytics, data science, or quantitative analytics roles, with demonstrated impact at staff/principal level
• Deep experience with product analytics in a B2C or marketplace environment-you understand funnels, retention curves, and user lifecycle intimately
• Track record of defining and owning metrics frameworks-you've established KPIs, driven cross-functional alignment, and maintained metric integrity as products and teams scaled
• Strong SQL skills and proficiency in Python or R for statistical analysis and modeling
• Proven track record designing and analyzing experiments, with solid understanding of statistical methods and common pitfalls
• Experience with product analytics tools (Amplitude, Mixpanel, or similar) and modern BI platforms
• Ability to translate ambiguous business questions into structured analytical approaches
• Excellent communication skills-you can tell a compelling story with data and influence product decisions at the leadership level
• Strong business intuition and user empathy; you think beyond the data to understand the "why"
• Comfortable operating with autonomy in a fast-moving environment where not everything is well-defined-you bring structure without waiting for permission
• You've been the person who brought rigor to a team that didn't have it-introduced frameworks, challenged assumptions, and shifted how product teams think about data

Good to Have:

• Experience in marketplace, telecom, travel or subscription/usage-based businesses
• Experience building experimentation programs or platforms from scratch-culture, tooling, and processes
• Previous work at a scale-up during hypergrowth, where you've seen what breaks and what scales
• You've been the person who brought rigor to a team that didn't have it-introduced frameworks, challenged assumptions, and shifted how product teams think about data

By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: https://www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy
We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

To apply: https://weworkremotely.com/remote-jobs/airalo-staff-data-analyst-product

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our...

About Prove

As the world moves to a mobile-first economy, businesses need to modernize how they acquire, engage with and enable consumers. Prove’s phone-centric identity tokenization and passive cryptographic authentication solutions reduce friction, enhance security and privacy across all digital channels, and accelerate revenues while reducing operating expenses and fraud losses. Over 1,000 enterprise customers use Prove’s platform to process 20 billion customer requests annually across industries, including banking, lending, healthcare, gaming, crypto, e-commerce, marketplaces, and payments. For the latest updates from Prove, follow us on LinkedIn.

Prove is driving the future of digital identity. We are looking for Provers who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smart but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together.

Prove has big plans, and we’re excited about the future. If this sounds like the place for you – come join our team!

Title: Data Science Lead

Department: Business Operations

Reports To: Director, Data Science

FLSA Status: Exempt

Location: US Remote

This role is not eligible for work authorization sponsorship.

Summary:

The Data Science Lead will serve as the strategic architect and research pioneer for the organization’s data ecosystem. This role is responsible for designing robust data architectures, leading research and development (R&D) for novel data sources, establishing rigorous analytical methodologies, and ensuring the seamless, scalable ingestion of high-quality data into downstream production solutions.

Core Pillars of Responsibility

1. Data Architecture & Scalable Engineering

• Blueprint Design: Design and oversee the evolution of scalable data architectures that support advanced analytics, machine learning (ML) modeling, and real-time processing.

2. R&D & Novel Data Source Evaluation

• Exploratory Research: Scout, evaluate, and pressure-test new internal, external, and alternative data sources (e.g., synthetic data, IoT streams, third-party APIs) for predictive power and commercial viability. Lead the ideation and feature engineering for these data sources and document how it aligns to current and future data architecture designs.
• Proof of Concepts (PoCs): Lead rapid prototyping and PoCs to validate new technologies, algorithms, and data structures before scaling them to production.
• Vendor & Partner Assessment: Technical vetting of data vendors and partners to ensure data quality, density, and seamless integration capabilities.

3. Methodology & Analytical Rigor

• Framework Standardization: Define and document the organization’s gold-standard methodologies for statistical analysis, experimental design (A/B testing), and ML modeling.
• Evaluation Metrics: Establish rigorous validation protocols and evaluation metrics (e.g., precision/recall, drift detection, bias/fairness audits) to ensure model and data integrity.
• Continuous Improvement: Keep the organization at the cutting edge of data science by translating academic research and emerging industry trends into practical business methodologies.

4. Ingestion & Solution Integration

• Productionalization Bridge: Serve as the critical bridge between R&D and Production, ensuring that complex analytical models and data sources are seamlessly ingested into core business products and solutions.
• API & Interface Design: Oversee data delivery contracts between the DS ecosystem and downstream software applications to ensure the creation of clean, well-documented APIs.

Key Deliverables (First 12 Months)

• Data Source Playbook: A formalized framework for scoring, vetting, and onboarding new data assets.
• Methodology Registry: A centralized repository of approved statistical models, evaluation metrics, and ingestion protocols to ensure team-wide consistency.
• Feature Importance Registry & Feature Engineering Roadmap: a centralized repository connecting current data sources to their product value and impact of removal and/or possible substitutes to the roadmap of how Prove can leverage the signals in new and differentiated ways
• Architectural Roadmap: A 12 month to 3-year vision aligning data science infrastructure with corporate scaling goals.

Profile & Qualifications

• 6+ years in Data Science/Data Engineering, with at least 2 years in a technical leadership or architectural role.
• Technical Stack
• Python, R, SQL, Cloud Platforms (AWS/GCP/Azure), Big Data tech (Spark, Kafka), Orchestration (Airflow), and MLOps tools.
• Expertise
• Deep understanding of data modeling, schema design (SQL/NoSQL), statistical evaluation, and MLOps deployment patterns, especially in R&D functions that bridge research with production.
• Soft Skills
• Exceptional ability to translate complex technical architectures into strategic business value for non-technical stakeholders.

This position description should not be considered the final description of the position. The position description is not intended to be an all-inclusive list of duties and standards of the positions. It should be assumed that we would, to some extent, structure responsibilities in accordance with the successful candidate’s capabilities and changing business conditions. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.

The anticipated salary range for this role is $179,000 - 200,000 plus variable commission / company bonus. Offered salary will be determined by the applicant’s education, experience, knowledge, skills, geo-location and abilities, as well as internal equity and alignment with market data.

Prove follows a market driven compensation philosophy based on geographic location and respective market rates. Job offers will be aligned to location. Please speak with your recruiter if you have questions. Prove defines:

• Metro 2 - NYC metro area, Seattle metro area, Los Angeles metro area, and the Miami metro area.
• Metro 3 - all other cities across the domestic United States, with the exception of the San Francisco Bay Area.

Benefits & Perks for FTE Provers:

• Competitive salaries & Bonus Plan (for eligible roles) and Equity Plan
• Modern Health for financial, mental, and physical wellness
• 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices)
• Unlimited Vacation and Flexible hours
• Comprehensive medical benefits for you and your family ❤️
• Emotional & Physical Wellness – Access to wellness services (EAP & Prove Well-Being Reimbursement)
• Bottomless snacks & beverages for certain office locations
• Daily GrubHub stipend for lunch if coming into the office (US Offices)
• A great place to work and connect with other talented Provers like yourself!

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Prove we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Equal Opportunity Employment:

Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics

Privacy & Data Protection:

When you are applying for a job at Prove, we collect and use your personal information in the job application process. To understand more about how Prove uses your personal information, please see our Recruitment Privacy Policy on our website.

About the Manager, Data Analytics at Headspace:

What you will do:

• Drive significant business outcomes by leading impactful and complex data projects that align with strategic priorities.
• Define and execute the vision for data analytics, ensuring alignment with company goals and objectives.
• Provide thought leadership by collaborating with Product, Engineering, Marketing, and Operations to translate complex business problems into scalable analytical frameworks.
• Recommend and implement actionable insights that drive measurable results and optimize key business metrics.
• Serve as the organization’s subject matter expert on advanced statistical analysis, experimental design, methodology, and financial impact analysis, ensuring best practices are followed.
• Guide the team in executing A/B testing strategies, data modeling, and predictive analytics to inform

decision-making.

• Lead root cause analyses for critical business metrics, crafting structured approaches to identify and address key drivers. Facilitate discussions with senior stakeholders and teams to prioritize and implement optimization strategies that drive efficiency and growth.
• Architect and implement automation solutions for analytical processes, including experimentation readouts and self-service analytics, improving scalability and efficiency.
• Drive innovation in reporting and data accessibility to empower stakeholders with real-time insights.
• Lead the development of high-quality data product requirements, dashboard scopes, and automated

reporting solutions.

• Build strong partnerships with Data Engineering, Business Intelligence, and other data stakeholders to enhance data infrastructure and accessibility.
• Partner with Business Intelligence engineering teams to drive both immediate data initiatives and the long-term vision for data-driven reporting and metric frameworks.
• Advocate for the adoption of best-in-class analytics tools, methodologies, and governance practices.
• Independently identify opportunities for improvement or growth, initiate projects, and lead them to successful outcomes with measurable impact.
• Establish and refine analytical processes to ensure consistency, accuracy, and scalability across the organization.
• Deliver compelling presentations to cross-functional teams and executive leadership, showcasing data-driven insights with clarity and precision.
• Effectively communicate complex analytical findings in a way that drives strategic decision-making and organizational alignment.
• Supervise a team of Staff Engineers, Staff/Sr. Data Analysts, and Capacity Planning Sr. Manager.
• Telecommuting permitted pursuant to company policy.

What you will bring:

Required Skills:

• Education Requirements: Bachelor’s degree or foreign equivalent in Computer Science, Statistics, Mathematics, Business Analytics, or related quantitative field.
• Experience Requirements: Five (5) years of experience as a Lead Data Analyst, Lead Business Analyst, Product Data Analyst, Data Scientist, or related occupation.
• Must have experience with the following: working directly with executive leadership and product leaders to align analytics with strategic goals; analytics focused on customer growth, engagement, and lifecycle optimization; owning and managing data products; big data technologies (Redshift, S3, Databricks, Datalakes, and Spark); and SQL, Python, R, Looker, Tableau, Statistics, Amplitude, Domo, CoreMetrics, Google Analytics, and Excel.)

Location:

We are currently hiring this role remotely in the greater Los Angeles, California area. Candidates must permanently reside in the US full-time.

Pay & Benefits:

The anticipated new hire base salary range for this full-time position is $158,900 - $224,250 + equity + benefits.

Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training.

Your recruiter will provide more details on the specific salary range for your location during the hiring process.

At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.

About Headspace

Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it.

At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come.

Why You’ll Love Working Here:

• A mission that matters—with impact you can see and feel
• A culture that’s collaborative, inclusive, and grounded in our values
• The chance to shape what mental health care looks like next
• Competitive pay and benefits that support your whole self

How we feel about Diversity, Equity, Inclusion and Belonging:

Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.

As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.

Headspace participates in the E-Verify Program .

Privacy Statement

All member records are protected according to ourPrivacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company’s benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship—including, for example, a managerial relationship.

As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment.

Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.

For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice

Axsome Therapeutics is a biopharmaceutical company leading a new era in the treatment of central nervous system (CNS) conditions. We deliver scientific breakthroughs by identifying critical gaps in care and develop differentiated products with a focus on novel mechanisms of action that enable meaningful advancements in patient outcomes. Our industry-leading neuroscience portfolio includes FDA-approved treatments for major depressive disorder, excessive daytime sleepiness associated with narcolepsy and obstructive sleep apnea, and migraine, and multiple late-stage development programs addressing a broad range of serious neurological and psychiatric conditions that impact over 150 million people in the United States. Together, we are on a mission to solve some of the brain’s biggest problems so patients and their loved ones can flourish. For more information, please visit us at www.axsome.com and follow us on LinkedIn and X.

About This Role

Axsome Therapeutics is seeking a Director, Market Access Deal Analytics to serve as a strategic leader in developing data-driven solutions that inform payer strategy, reimbursement optimization, pricing, and patient access. The ideal candidate will bring deep experience in payor and PBM deal analytics, strong understanding of payor incentives, Medicare and Medicaid reimbursement, understanding of specialty pharmacy, hub, patient services programs, and a pragmatic, action-oriented mindset that connects insights to execution. This position reports to the Senior Director, Pricing and Contracting Strategy.

This role is based at Axsome’s HQ in New York City with an on-site requirement of at least three days per week. We are unable to consider candidates who are looking for fully remote roles.

Job Responsibilities and Duties include, but are not limited to, the following:

• Conduct robust analytics to support business cases to be presented to Pricing Terms Committee (PTC)

• Support development on contracting language that supports meeting of business intent

• Lead analytics strategy to inform payer contracting, coverage optimization, and payer engagement across Axsome’s in-line and pipeline products

• Conduct claims data analyses [rejections, reversals, abandonment] to understand coverage dynamics, formulary behavior, and their implications on uptake and persistency

• Design modeling frameworks to guide formulary negotiations, segmentation strategies, and gross-to-net (GTN) investment optimization

• Build predictive tools to estimate how payer policies and pricing dynamics influence new therapy adoption across CNS specialties

• Drive integration of payer analytics into National Account pull-through strategy, including actionable field-level insights for Market Access and Field Sales teams

• Support development of key metrics, and report payer and PBM contract performance to Pricing Committee and Executive Leadership

• Construct scenario-based forecasting models that simulate the impact of price and access changes on revenue and patient access

• Monitor formulary positions and their downstream impact on prescribing behavior, conversions, and persistency to inform contract renewal cycles

• Partner with Finance and GTN teams to continuously refine accruals based on evolving pricing and access dynamics

• Collaborate closely with Forecasting, Commercial Operations, HEOR, and Market Access Data Science teams to harmonize analytics across functions

• Embed analytics into pricing and access strategy development, ensuring that all recommendations are grounded in data and aligned to business goals

• Proactively identify opportunities to improve data infrastructure, automate insight generation, and enhance decision support capabilities

Requirements / Qualifications

• Bachelor’s degree in Economics, Statistics, Public Health, or related field. Advanced degree (MBA, MPH, PhD) preferred

• Minimum 10 years in pharmaceutical or healthcare analytics with a focus on market access, pricing, or payer strategy

• Proven track record in supporting product launches from an access analytics perspective

• Strong background in CNS therapeutic areas or other specialty/rare disease domains, highly preferred

• Ability to work on site Monday, Tuesday & Thursday

Experience, Knowledge and Skills

• In-depth understanding of U.S. payer systems (commercial, Medicare, Medicaid), reimbursement pathways, and formulary dynamics

• Proficiency in large-scale healthcare datasets (claims, syndicated data sources,  longitudinal data sources)

• Strong experience in payer contracting analytics, GTN modeling, and assessing ROI on market access investments

• Expertise in PBM/Payor Contract Language

• Familiarity with data visualization platforms (e.g., Power BI, Tableau) and cloud-based data ecosystems

• Ability to develop and validate predictive models using machine learning or regression-based techniques

• Ability to influence senior stakeholders across Commercial, Access, and Corporate functions

• Experience managing external vendors, data partners, and cross-functional projects with multiple competing priorities

• Excellent communicator who can distill technical content into strategic narratives

Salary and Benefits:

The anticipated salary range for this role is $190,000 - $215,000. We encourage candidates of all levels to apply as there may be flexibility on final job title and responsibilities. The salary offer will be based on a variety of factors, including experience, qualifications, internal equity and location. Axsome offers a competitive employment package that includes an annual bonus, significant equity and a generous benefits package.

Axsome is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, sexual orientation, gender identity, ancestry, citizenship, marital status, physical or mental disability, medical condition, veteran status, genetic information, or any other characteristic protected by federal, state, or local law.

Axsome Therapeutics does not accept unsolicited resumes from recruiters or third-party recruitment agencies and will not pay placement fees for unsolicited candidates that are sent to hiring managers, the HR team or other Axsome team members. Only approved vendors who have been explicitly asked to support a specific search will receive access to our Applicant Tracking System to submit candidates for consideration.

If you’re passionate about helping people protect what matters most to them at a Fortune 100 company with nearly $70 billion in annual sales, as well as innovating and simplifying processes and operations to provide the best customer value, then Nationwide’s Property and Casualty team could be the place for you!

As the Head of Measurement & Performance Intelligence, you will build the function responsible for evaluating and improving the performance of OpenAI's compute platforms, partnering with various teams to ensure optimization against real workload behavior at scale.

About Extend:Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth.

About the Principal Data Scientist at Headspace: We are looking for an innovative, strategic and impact- driven Principal Data Scientist to lead the evolution of data science across our care delivery and marketplace ecosystem.

Hi, we’re Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!

Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others:

• Built In’s 2026 Best Midsize Companies to Work For in New York City

• Built In’s 2025 Best Places to Work For In New York City

• Built In’s 2024 & 2025 Best Startups to Work For In the U.S.

• Built In’s 2023 - 2025 Best Startups to Work For In New York City

• Fast Company’s Most Innovative Companies of 2022

• Business Insider’s Most Promising Consumer Startups 2022

• Forbes Fintech 50 2022

Role Overview:

The Membership pod owns our cross-product customer experience. As the Lead Product Analyst embedded with the team, you will have a huge impact. You will help identify opportunities, prioritize initiatives and influence strategy by leveraging your analytics expertise, keen product sense and knack for pattern recognition.

As the Lead Product Analyst, you are also responsible for the technical architecture of our experimentation framework and the integrity of our growth metrics. You will build data models, automation workflows, and statistical tests that drive our product roadmap.

What you’ll be doing:

• Act as a core product thinker within the membership pod. Analyze user journeys to identify friction points and proactively recommend product changes that drive retention and LTV.

• Become embedded with the product, design and engineering teams to define key metrics and answer important questions and influence product roadmap.

• Conduct analysis and opportunity sizing to find opportunities for improvement and turn the hypothesis into actionable and well-designed experiments (A/B Testing)

• Identify KPIs and develop dashboards to monitor the metrics, the progress we’ve made towards our goals and the key levers

• Communicate results through written and verbal presentations, influence stakeholders, and be the trusted thought partner for the product, design and engineering

• Build and maintain the dbt transformation layer and semantic models to ensure a single source of truth for membership KPIs.

• Develop agentic analytics workflows to automate trend detection, anomaly alerting, and standard reporting allowing you to spend more time on deep-dive strategic analysis.

• Lend your expertise to help your teammates and coworkers to improve processes and performance.

What you have:

• Bachelor’s degree in Business, Finance, Economics, Statistics, or equivalent quantitative field

• 7 years experience in Business Intelligence, Analytics, Data Science or quantitative analysis related fields.

• Experience with SQL and scripting in one or more languages (Python or R) for automation and data manipulation

• Ability to synthesize often ambiguous problems into a hypothesis-driven data investigation to weave a story together.

• Ability to then present the story employing data visualization to improve stakeholder understanding and steer strategic initiatives.

• Ability to communicate qualitative and quantitative results in verbal and written communications for technical, business and executive audiences.

• Experience translating user behavior data into specific product improvements

• Demonstrated capacity to manage collaborative relationships and assert influence without authority, particularly when working with product managers, design, marketing and engineering teams.

• Ability to succeed in a fast-paced and often ambiguous work environment

• Ability to thrive in a remote and sometimes ambiguous environment.

The anticipated annual base salary for this position is $155,000 - $170,000. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Our Benefits & Team:

• Medical, dental, and vision insurance

• Flexible PTO Policy

• 401k plan

• Paid Parental Leave

• Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support

• Monthly reimbursements to use against wifi and cell phone bills

• Annual reimbursement for Learning & Development

• Help hard working Americans build a brighter financial future

• High-growth company

• A dynamic, flexible and collaborative start-up work environment with a highly talented team

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodations@hellobrigit.com.

Disclosures:

• For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.

• Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?

The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments.  As Senior Data Science Manager, Growth & Retention Marketing, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development & causal inference, to enable better & more rapid decision making.

What you’ll do:

• Lead a team of data scientists, covering topics across retention and acquisition marketing
• Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution
• Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes
• Integrate LLMs into data & operations workflows, to increase throughput & scale across domains
• Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team
• Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made
• Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals

What you have:

• 7+ years of experience in data science & analytics

• 5+ years of experience in a marketing, customer, or revenue data-related role

• 3+ years of experience managing or mentoring data scientists, analysts, or engineers

• Bachelor’s or master’s degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred

• Proven experience in building and implementing production-grade machine learning models in an operations support capacity

• Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes

• Exceptional communicator, with experience presenting to senior leadership

• Ability to influence cross-functional partners (Marketing, Finance, Product)

• Comfortable balancing hands-on work with team leadership

• Technical Skills

  • Strong statistical proficiency
  • Python for statistical computing, model development, and data visualization
  • Advanced SQL

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote

Working at PrizePicks:

The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you’ll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 5/11/2026

Benefits you’ll receive:

In addition to your great compensation package, full-time employees will be eligible for the following perks:

• Company-subsidized medical, dental, & vision plans
• 401(k) plan with company match
• Annual bonus
• Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
• Generous paid leave programs, including 16-week paid parental leave and disability benefits
• Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
• Company-wide in-person events and team outings
• Lifestyle enhancement program
• Company equipment provided (Windows & Mac options)
• Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S.  We are unable to sponsor or take over sponsorship of an employment Visa at this time.

PrizePicks is an Equal Opportunity Employer.  All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Principal Biostatistician(Clinical Pharmacology)Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success.

POSITION SUMMARY:

The Real-World Data & Analytics (RWDA) group within the Biopharma team at Natera works with major Biopharmaceutical partners to provide best-in-class data, analysis, and methodological guidance for Natera’s real-world data offering.

We are seeking a highly motivated and solutions-oriented a Staff Data Scientist/Real World Evidence with experience and interest in oncology, molecular analysis and epidemiological study design to join our team. This role requires the individual engage customers to generate new hypotheses and research questions, iterate and interrogate existing hypotheses and research questions, design research projects, conduct and iterate on the analysis as well as derive insights from complex real-world multi-modal, multi-time point molecular and clinical data. The individual will also implement advanced statistical methods, and utilize internal analytical tools, interfaces as well as AI tools to generate, visualize and enhance insights.

PRIMARY RESPONSIBILITIES:

●        Biopharma Partnerships: design, prepare data and conduct analysis and delivery of RWE analyses for biopharma clients. You will be responsible for translating complex clinical development and translational research questions into actionable research plans and insights utilizing Natera data for trial design, outcomes research and other bespoke projects.

●        Multi-modal Real World Data Expertise: generate insights from complex real-world endpoints using extensive coding, demonstrating deep comprehension of Natera clinical and molecular data structures and complexity, while also serving as an expert on the methodological nuances and limitations of real-world data.

●        Methodological Standards & Mentorship: Build technical standards by implementing advanced methods in survival analysis, machine learning and predictive modeling.

●        AI-Enhanced Applications: Integrate practical adoption of Natera tools including: LLMs and agentic tools into your own daily workflow. Your focus will be on using these technologies to improve the speed and accuracy of code development, documentation, and review.

●        Scientific Leadership & Influence: Own the communication of high impact/value results to internal stakeholders and external partners. You will be responsible for the scientific integrity of all deliverables, including manuscripts, conference abstracts, and technical reports where appropriate.

●        Cross-Functional Collaboration: Collaborate with internal product, oncology, and clinical abstraction, medical, scientific, business development and consortia teams to continually enhance Natera data quality, products, and analytical best practices.

●        Product / Work-Flow Enhancement: Proactively identify gaps in current products and ensure that customer feedback is collected and integrated into the Natera product road map.

●        Oncology & RWE Domain Expertise: Maintain deep expertise in oncology clinical guidelines (e.g., NCCN) and emerging RWE methodologies. You will be responsible for translating these external shifts into internal strategy, ensuring that our research designs and data modeling stay ahead of the evolving oncology landscape and reflect the most current standard of care.

QUALIFICATIONS:

●        Education: Advanced education in epidemiology, biostatistics, data science, public health, or related fields, to the level of either:

o   Master’s degree, or PhD and 4+ years of additional work experience

●        Technical & Statistical Mastery:

o   Expert-level proficiency in observational real-world healthcare data, specifically in designing and implementing complex time-to-event methodologies (survival analysis).

o   Track record of leading RWD analytical studies from initial scoping through to publication or dissemination.

o   Proficient in using R and SQL, especially statistical tools and packages.

o   Proficiency applying machine learning, LLM-based coding assistants (e.g., Copilot, Cursor) and agentic frameworks to support data analysis, code review, or scientific documentation workflows.

o   Adherence to good software engineering practices (version control, modular code, documentation).

o   Experience with code review.

●        Communication & Client Ownership: Experience as a primary technical point of communication for biopharma clients, with a proven ability to collaborate on study design and translate highly technical findings into strategic recommendations for senior-level stakeholders.

●        Leadership & Soft Skills: Strong project leadership and the ability to manage multiple high-priority workstreams simultaneously in a fast-paced environment.

●        Soft Skills: Strong project leadership with excellent written and verbal communication skills. Ability to thrive in a fast-paced, dynamic environment working with multi-disciplinary scientists on complex problems.

●        Solution Oriented: Ability to see through initial research questions to the high impact / valuable insights customers require (need vs. want). Understand the question behind the question as well as identify solutions to generate meaningful insights when the data does not exist.

Preferred Skillsets:

●        Experience working with Pharma or drug development.

●        Experience in clinical trial design in the clinical development space.

●        Extensive proficiency with EMR raw and curated data, claims, and registry data.

●        Practical experience building, fine-tuning, or configuring LLM-based tools and agentic workflows specifically for scientific discovery.

●        High-level familiarity with NCCN guidelines and the ability to interpret real-world outcomes within the context of the current oncology standard of care.

●        Significant experience analyzing multi-modal data including biomarker, genomic, or other high-dimensional molecular data alongside clinical datasets.

●        Proficiency in managing large-scale data projects within cloud environments such as AWS or Google Cloud Platform (GCP).

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Remote USA

$170,600—$213,300 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:

- BBB announcement on job scams

- FBI Cyber Crime resource page

SummaryThis role requires a broadly experienced, analytical and self-motivated data professional. The Associate Director, Philanthropic Data Analytics is responsible for maintaining operations and integrity of the organization’s fundraising information management...

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune...

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world’s largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

About the Role

Apollo is seeking a Manager, GTM Analytics & Intelligence to join our Revenue Operations leadership team. This is a senior leadership role sitting at the intersection of GTM strategy, data infrastructure, and analytical execution. You will own the end-to-end analytical capability supporting Apollo’s Sales and Post-Sales organizations — leading a team of analysts and serving as the authoritative voice on GTM data strategy, forecasting, metrics governance, and data-driven insight.

You will work closely with BI/Analytics, Sales Ops, CS Ops, Finance, and GTM leadership to define how we measure performance, model our ARR waterfall, standardize our metrics taxonomy, and operationalize the cadences that keep our go-to-market engine running with precision. This is a high- impact role for a senior analytics leader who combines deep technical rigor with the strategic instincts of a revenue operator.

What You’ll Do

Team Leadership & Development

• Hire, build, and lead a team of GTM analysts dedicated to supporting Sales and Post-Sales functions, fostering a culture of analytical excellence, ownership, and continuous improvement.
• Set team priorities, manage cross-functional stakeholder relationships, and ensure analytical capacity is aligned to the highest-leverage GTM needs.
• Coach and develop analysts to grow as both technical practitioners and strategic business partners.

GTM Data Strategy & Governance

• Own and maintain Apollo’s GTM data strategy — defining how GTM data is structured, governed, and trusted across the organization.
• Partner with the BI/Analytics team to inform reporting model design, establish data governance standards, and drive metrics standardization across Sales, Pipeline Generation, and Customer Success.
• Define, document, and operationalize core GTM metrics including ARR accounting logic, logo definitions, funnel metrics, retention, and expansion — ensuring consistency and confidence across all reporting surfaces.
• Ensure Salesforce and connected data sources are well-understood, accurately modeled, and effectively leveraged across all reporting and analytical workflows.

Analytical Forecasting

• Own and continuously improve Apollo’s analytical forecasting capability across all GTM functions and ARR levers, including New Business Sales, Pipeline Generation, Pipeline Coverage, and Customer Retention.
• Build and maintain advanced forecasting models that integrate signals across the full ARR waterfall, enabling leadership to plan with confidence and act with foresight.
• Partner with Finance and GTM leadership on planning cycles, quota setting, and scenario modeling to support resource allocation and strategic decisions.

GTM Data Management & Operating Cadences

• Own the data management processes that underpin Apollo’s GTM Operating Cadences — including QBRs, pipeline reviews, board reporting, and executive dashboards.
• Ensure timely, accurate, and actionable data is available to support recurring business reviews and ad hoc leadership requests.
• Define and maintain data pipelines and reporting infrastructure in partnership with BI/Analytics and RevOps.

Data Change Management

• Own and facilitate data change projects that impact GTM reporting, forecasting, or planning functions — including CRM migrations, metric redefinitions, system integrations, and tooling transitions.
• Lead cross-functional alignment on data changes, managing communications, timelines, and validation to ensure continuity of reporting and stakeholder trust.

GTM Strategy & Analytical Insights

• Serve as a strategic analytical partner to GTM leadership, delivering insights and exploratory analyses that surface opportunities, flag risks, and inform GTM strategy.
• Translate complex, ambiguous business questions into structured analyses and clear executive narratives.
• Proactively identify trends across sales performance, pipeline health, customer retention, and competitive dynamics that should influence GTM prioritization.

Qualifications and Experience

• 8+ years of experience in Revenue Operations, GTM Analytics, Strategy & Operations, or a closely related field, with at least 2–3 years in a people management capacity.
• Demonstrated ability to lead and develop high-performing analytical teams in a fast-paced, high-growth SaaS environment.
• Expert-level SQL skills, with the ability to build complex, performant queries and data models.
• Deep experience with Salesforce data and architecture.
• Proven track record of owning GTM data strategy — from metrics standardization and governance through reporting model design and stakeholder enablement.
• Strong experience building and maintaining revenue forecasting models across multiple ARR levers.
• Advanced proficiency in data visualization and storytelling using tools such as Tableau, Looker, or similar.
• Strong understanding of B2B SaaS GTM motions, including acquisition funnels, pipeline economics, retention, and expansion.
• Ability to translate ambiguous business questions into structured analyses and insights.
• Excellent communication skills and comfort working cross-functionally with technical and non-technical stakeholders, including executive audiences.
• Experience working in fast-paced, product-led, high-growth SaaS companies.
• Exceptional skills in cross-functional collaboration, data analysis, and operational problem solving.

The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.

Tier 1 Pay Range (San Francisco, New York City, Seattle)

$190,000—$250,000 USD

Tier 2 Pay Range (All other US Locations)

$160,000—$205,000 USD

The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.

Pay Transparency Range

$160,000—$250,000 USD

We are AI Native

Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you’re energized by finding smarter, faster ways to get things done using AI and automation, you’ll thrive here.

Why You’ll Love Working at Apollo

At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.

Learn more here!

Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world’s largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.

About the Role

Apollo is seeking a Manager, GTM Analytics & Intelligence to join our Revenue Operations leadership team. This is a senior leadership role sitting at the intersection of GTM strategy, data infrastructure, and analytical execution. You will own the end-to-end analytical capability supporting Apollo’s Sales and Post-Sales organizations — leading a team of analysts and serving as the authoritative voice on GTM data strategy, forecasting, metrics governance, and data-driven insight.

You will work closely with BI/Analytics, Sales Ops, CS Ops, Finance, and GTM leadership to define how we measure performance, model our ARR waterfall, standardize our metrics taxonomy, and operationalize the cadences that keep our go-to-market engine running with precision. This is a high- impact role for a senior analytics leader who combines deep technical rigor with the strategic instincts of a revenue operator.

What You’ll Do

Team Leadership & Development

• Hire, build, and lead a team of GTM analysts dedicated to supporting Sales and Post-Sales functions, fostering a culture of analytical excellence, ownership, and continuous improvement.
• Set team priorities, manage cross-functional stakeholder relationships, and ensure analytical capacity is aligned to the highest-leverage GTM needs.
• Coach and develop analysts to grow as both technical practitioners and strategic business partners.

GTM Data Strategy & Governance

• Own and maintain Apollo’s GTM data strategy — defining how GTM data is structured, governed, and trusted across the organization.
• Partner with the BI/Analytics team to inform reporting model design, establish data governance standards, and drive metrics standardization across Sales, Pipeline Generation, and Customer Success.
• Define, document, and operationalize core GTM metrics including ARR accounting logic, logo definitions, funnel metrics, retention, and expansion — ensuring consistency and confidence across all reporting surfaces.
• Ensure Salesforce and connected data sources are well-understood, accurately modeled, and effectively leveraged across all reporting and analytical workflows.

Analytical Forecasting

• Own and continuously improve Apollo’s analytical forecasting capability across all GTM functions and ARR levers, including New Business Sales, Pipeline Generation, Pipeline Coverage, and Customer Retention.
• Build and maintain advanced forecasting models that integrate signals across the full ARR waterfall, enabling leadership to plan with confidence and act with foresight.
• Partner with Finance and GTM leadership on planning cycles, quota setting, and scenario modeling to support resource allocation and strategic decisions.

GTM Data Management & Operating Cadences

• Own the data management processes that underpin Apollo’s GTM Operating Cadences — including QBRs, pipeline reviews, board reporting, and executive dashboards.
• Ensure timely, accurate, and actionable data is available to support recurring business reviews and ad hoc leadership requests.
• Define and maintain data pipelines and reporting infrastructure in partnership with BI/Analytics and RevOps.

Data Change Management

• Own and facilitate data change projects that impact GTM reporting, forecasting, or planning functions — including CRM migrations, metric redefinitions, system integrations, and tooling transitions.
• Lead cross-functional alignment on data changes, managing communications, timelines, and validation to ensure continuity of reporting and stakeholder trust.

GTM Strategy & Analytical Insights

• Serve as a strategic analytical partner to GTM leadership, delivering insights and exploratory analyses that surface opportunities, flag risks, and inform GTM strategy.
• Translate complex, ambiguous business questions into structured analyses and clear executive narratives.
• Proactively identify trends across sales performance, pipeline health, customer retention, and competitive dynamics that should influence GTM prioritization.

Qualifications and Experience

• 8+ years of experience in Revenue Operations, GTM Analytics, Strategy & Operations, or a closely related field, with at least 2–3 years in a people management capacity.
• Demonstrated ability to lead and develop high-performing analytical teams in a fast-paced, high-growth SaaS environment.
• Expert-level SQL skills, with the ability to build complex, performant queries and data models.
• Deep experience with Salesforce data and architecture.
• Proven track record of owning GTM data strategy — from metrics standardization and governance through reporting model design and stakeholder enablement.
• Strong experience building and maintaining revenue forecasting models across multiple ARR levers.
• Advanced proficiency in data visualization and storytelling using tools such as Tableau, Looker, or similar.
• Strong understanding of B2B SaaS GTM motions, including acquisition funnels, pipeline economics, retention, and expansion.
• Ability to translate ambiguous business questions into structured analyses and insights.
• Excellent communication skills and comfort working cross-functionally with technical and non-technical stakeholders, including executive audiences.
• Experience working in fast-paced, product-led, high-growth SaaS companies.
• Exceptional skills in cross-functional collaboration, data analysis, and operational problem solving.

The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.

Tier 1 Pay Range (San Francisco, New York City, Seattle)

$190,000—$250,000 USD

Tier 2 Pay Range (All other US Locations)

$160,000—$205,000 USD

The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.

Pay Transparency Range

$160,000—$250,000 USD

We are AI Native

Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you’re energized by finding smarter, faster ways to get things done using AI and automation, you’ll thrive here.

Why You’ll Love Working at Apollo

At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead.

We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins.

If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.

Learn more here!

Our mission at Greenhouse is to make hiring work for everyone – so we go to great lengths to hire great people because we believe that they’re the foundation of our success. At Greenhouse, you’ll join a team that collaborates purposefully, fosters inclusivity, and communicates with transparency and accountability so we can achieve our mission.Join us to do the best work of your career, solving meaningful problems with remarkable teams.Greenhouse is looking for a Principal Marketing Analytics Manager to join our team! Reporting to the VP of Growth Marketing, the Principal Marketing Analytics Manager owns the analytics strategy, reporting architecture, and performance insights for the entire marketing organization. This is a high-visibility, high-impact role that serves as the strategic engine behind our growth.In this role, you will do more than manage data; you will manage intelligence. You will deliver the analytics, dashboards, and insights required to optimize performance, but your real value lies in your ability to synthesize that data into a compelling narrative. You will be the primary architect of our executive-level operating reviews and QBRs, translating complex data into the "So What" that drives investment decisions at the highest levels of the company.Who will love this jobA data devotee – You are obsessed with the narratives hidden in data and excel at translating technical metrics into strategic business stories that resonate with executives.A Proactive Partner – You don't wait for a ticket or a roadmap. You sit in the huddles with Demand Gen, Content, and Brand leads, identifying their pain points and building solutions before they even ask.A Master Storyteller – You have the "Executive Presence" to walk into a QBR and not just present numbers, but provide a clear perspective on where we are winning, where we are losing, and where we must pivot.An AI-First Builder – You have a high "Bias for Action" and use AI to scale your impact. You’d rather use

Description

Role Summary

Join our fast-growing Consulting Business at Delta Capita (DC), working with leading global financial institutions. As a senior lead, you’ll be part of our London-based Global Consulting team, acting as the primary client contact and delivering high-quality consulting services.

We’re looking for professionals with strong financial services knowledge, proven experience in business analysis and/or project management, and a track record of successful client delivery. Ideal candidates will bring change management expertise and experience in lending platforms such as LoanIQ (ACBS experience is a must)

To know more about our Consulting services, click here Consulting - Delta Capita.

Key Responsibilities

• Manage projects across lending operations as a Business Analyst.

• Lead asset migration and reconciliation between ACBS and LoanIQ.

• Oversee defect management and portfolio migration activities.

• Apply lending and syndicated loan expertise to guide project decisions.

• Collaborate with technical and operational teams to ensure data integrity.

• Build and manage client relationships, acting as a trusted advisor.

• Deliver end-to-end consulting projects, ensuring quality and timeliness.

• Mentor junior consultants and foster a collaborative team culture.

• Identify new business opportunities and support sales efforts.

• Contribute to internal initiatives, thought leadership, and industry events.

• Drive continuous improvement across tools, methodologies, and processes.

Requirements

• Proven experience in consulting, project management, or business analysis within financial services.

• Strong change management skills across strategy, design, testing, and implementation.

• Deep understanding of financial products and lifecycle events.

• Hands-on experience with LoanIQ; ACBS experience is highly desirable.

• Familiarity with asset migration, reconciliation, and defect management.

• Ability to manage projects and lead teams effectively.

• Comfortable working independently and supporting business growth initiatives.

How We Work:

Delta Capita is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, colour, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you require any reasonable adjustments through your interview process, please use the designated space within the application questionnaire.

This is a permanent full-time position located in Chennai or Noida. As the selection and interview process is ongoing, please submit your application in English as soon as possible, if your profile is selected, a member of our team will contact you within 4 weeks. For this role a valid working permit for the UK is mandatory.

Expectations regarding hybrid working: As we are a Service Provider and Consulting firm servicing clients, our policy for physically working from the office (which may be the client’s offices or our own offices depending on the client) aligns to what our client’s policies and expectations are and these vary. Most of our client’s now require a minimum of 3 days per week in the office, 2 days from home, and accordingly this is also the minimum expectation that Delta Capita require.

Who We Are:

Delta Capita Group is a global managed services, consulting and solutions provider with a unique combination of experience in Financial Services and technology innovation capability. Our mission is to reinvent the financial services value chain providing technology based mutualized services for financial institutions for non differentiating services.

Our 3 offerings are:

• Managed Services

• Consulting & Solutions

• Technology

To know more about Delta Capita and our culture click here: Working at DC - Delta Capita.

Ready to be a Titan? As the Lead Data Scientist on our Operations data science team supporting the Finance organization, you will use machine learning, generative AI, and data-driven insights to drive financial planning, optimize spend, and inform strategic decision-making across ServiceTitan.